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Mobility as a service and private car use: Evidence from the Sydney MaaS trial
16 references·0 citing·47 second hopsampled
Mobility as a service and private car use: Evidence from the Sydney MaaS trial (2021)Mobility as a service and private car use…Towards a framework for Mobility-as-a-Service policies (2020)Towards a framework for Mobil…Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions (2020)Insights into the impact of C…Transportation service bundling – For whose benefit? Consumer valuation of pure bundling in the passenger transportation market (2019)Transportation service bundli…The importance of user perspective in the evolution of MaaS (2019)The importance of user perspe…Public preferences for mobility as a service: Insights from stated preference surveys (2019)Public preferences for mobili…Mobility as a service (MaaS): Charting a future context (2019)Mobility as a service (MaaS):…Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment (2019)Bundling, pricing schemes and…The potential of mobility as a service bundles as a mobility management tool (2018)The potential of mobility as …Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study (2018)Potential uptake and willingn…A topological approach to Mobility as a Service: A proposed tool for understanding requirements and effects, and for aiding the integration of societal goals (2018)A topological approach to Mob…A review of technology acceptance and adoption models and theories (2018)A review of technology accept…Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges (2017)Mobility as a Service: A Crit…Trying Out Mobility as a Service: Experiences from a Field Trial and Implications for Understanding Demand (2016)Trying Out Mobility as a Serv…A Critical Review of New Mobility Services for Urban Transport (2016)A Critical Review of New Mobi…Strategic Bundling of Products and Prices: A New Synthesis for Marketing (2002)Strategic Bundling of Product…Econometric Analysis of Cross Section and Panel Data (2001)Econometric Analysis of Cross…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Another look at the instrumental variable estimation of error-components models (1995)Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches (2006)Corporate social responsibility and access to finance (2013)The China Syndrome: Local Labor Market Effects of Import Competition in the United States (2013)Structures of commitment in mode use: a comparison of Switzerland, Germany and Great Britain (2001)The desired quality of integrated multimodal travel information in public transport: Customer needs for time and effort savings (2006)Promoting public transport as a subscription service: Effects of a free month travel card (2009)Questioning mobility as a service: Unanticipated implications for society and governance (2019)Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020)Prospect Theory: An Analysis of Decision under Risk (1979)Carl Shapiro and Hal R. Varian.Information Rules: A Strategic Guide to the Network Economy.Boston, Massachusetts: Harvard Business School Press, 1999. x + 352 pp (1999)Information Rules: A Strategic Guide to the Network Economy (2000)Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change? (2017)Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges (2021)Patterns of Industrial Innovation (1978)Sustainable urban transport: Four innovative directions (2005)Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes (2019)Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature (2020)The structure of random utility models (1977)Modelling Transport (2011)The Generalizability of Survey Experiments (2015)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education (2018)“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Applied Choice Analysis (2015)Travel demand and the 3Ds: Density, diversity, and design (1997)Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents (2014)Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco (2015)The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily (2020)Transportation technologies, sharing economy, and teleactivities: Implications for built environment and travel (2021)Handbook of Computational Social Science for Policy (2023)Urban travel demand: A behavioral analysis (1976)Urban Travel Demand: A Behavioral Analysis (1977)Impact of the COVID-19 pandemic on travel behavior in Istanbul: A panel data analysis (2020)Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions (2020)Slowly coming out of COVID-19 restrictions in Australia: Implications for working from home and commuting trips by car and public transport (2020)Australian Bureau of Statistics (2021)Prospect theory: An analysis of decision under risk (1988)Consumer Switching Costs: A Typology, Antecedents, and Consequences (2003)Perspectives in supply chain risk management (2006)Leadership training design, delivery, and implementation: A meta-analysis. (2017)PRODUCT DESIGN AND DEVELOPMENT (2018)
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References

  • 2001Econometric Analysis of Cross Section and Panel Data27,643 cited
  • 2018A review of technology acceptance and adoption models and theories1,242 cited
  • 2017Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges958 cited
  • 2002Strategic Bundling of Products and Prices: A New Synthesis for Marketing797 cited
  • 2016A Critical Review of New Mobility Services for Urban Transport631 cited
  • 2020Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions520 cited
  • 2018A topological approach to Mobility as a Service: A proposed tool for understanding requirements and effects, and for aiding the integration of societal goals400 cited
  • 2018Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study325 cited
  • 2019Mobility as a service (MaaS): Charting a future context325 cited
  • 2018The potential of mobility as a service bundles as a mobility management tool296 cited
  • 2019Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment276 cited
  • 2019The importance of user perspective in the evolution of MaaS269 cited
  • 2016Trying Out Mobility as a Service: Experiences from a Field Trial and Implications for Understanding Demand232 cited
  • 2019

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Public preferences for mobility as a service: Insights from stated preference surveys
232 cited
  • 2020Towards a framework for Mobility-as-a-Service policies198 cited
  • 2019Transportation service bundling – For whose benefit? Consumer valuation of pure bundling in the passenger transportation market155 cited
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